Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E222E33B600CD2A8DAB95CCF6C09649551DC385FA314CCAA1A491FF7BC0CF069A97AD |
|
CONTENT
ssdeep
|
192:zBrK3JYdGvpsqIsxioMcnthWeNWb2fMmUU8VConVelM1MYP:VrHGvpfs2fMmUFConVelM1MYP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333326cccccccc |
|
VISUAL
aHash
|
e7c3e7ffffffffff |
|
VISUAL
dHash
|
4d4d4c3004000000 |
|
VISUAL
wHash
|
2424243c0f0f0f0f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4d4d4c3004000000,6021cceaf2ec33b2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)